BACKGROUND
Chromosomal
abnormalities
are
genetic
disorders
caused
by
chromosome
errors,
leading
to
developmental
delays,
birth
defects,
and
miscarriages.
Currently,
invasive
procedures
such
as
amniocentesis
or
chorionic
villus
sampling
mostly
used,
which
carry
a
risk
of
miscarriage.
This
has
led
the
need
for
noninvasive
innovative
approach
detect
prevent
chromosomal
during
pregnancy.
OBJECTIVE
review
aims
describe
appraise
potential
internet-based
abnormal
preventive
measures
detecting
preventing
METHODS
A
thorough
existing
literature
research
on
approaches
prenatal
diagnosis
therapy
was
conducted.
Electronic
databases
PubMed,
Google
Scholar,
ScienceDirect,
CENTRAL,
CINAHL,
Embase,
OVID
MEDLINE,
PsycINFO,
Scopus,
ACM,
IEEE
Xplore
were
searched
relevant
studies
articles
published
in
last
5
years.
The
keywords
used
included
<i>chromosomal
abnormalities</i>,
<i>prenatal
diagnosis</i>,
<i>noninvasive</i>,
<i>internet-based</i>,
<i>diagnosis</i>.
RESULTS
revealed
that
is
involves
use
advanced
technology,
including
high-resolution
ultrasound,
cell-free
DNA
testing,
bioinformatics,
analyze
fetal
from
maternal
blood
samples.
It
allows
early
detection
abnormalities,
enabling
timely
interventions
treatment
adverse
outcomes.
Furthermore,
with
advancement
emerged
safe
alternative
benefits
its
cost-effectiveness,
increased
accessibility
convenience,
earlier
intervention,
ethical
considerations.
CONCLUSIONS
Internet-based
revolutionize
care
offering
procedures.
improve
better
pregnancy
outcomes
reduced
Further
development
this
field
needed
make
more
accessible
affordable
pregnant
women.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 12, 2024
Abstract
Purpose
Next
generation
sequencing
(NGS)
has
led
to
the
creation
of
large
pools
genomic
data
with
analysis
rather
than
now
limiting
factor.
Artificial
intelligence
(AI)
may
be
required
optimize
benefits
these
data,
but
little
is
known
about
how
public
feels
use
AI
in
genomics.
Methods
We
conducted
focus
groups
members
Australian
public.
Participants
were
recruited
via
social
media
advertisements.
explored
potential
uses
medicine,
benefits,
risks,
and
possible
implications
its
use.
Results
(n
=
34)
largely
felt
comfortable
analysing
their
own
generally
agreed
benefits.
Concerns
raised
over
security,
for
misdiagnosis,
bias
perpetuate.
Many
participants
wanted
checking
mechanisms
when
results
generated
using
AI.
Conclusions
The
insights
gained
from
discussions
help
understand
concerns
around
medicine.
Our
findings
can
inform
both
policies
educate
on
American Journal of Medical Genetics Part A,
Год журнала:
2024,
Номер
197(1)
Опубликована: Авг. 21, 2024
Abstract
Fine–Lubinsky
syndrome
is
a
rare
clinically
defined
sometimes
referred
to
as
brachycephaly,
deafness,
cataract,
microstomia,
and
impaired
intellectual
development
syndrome.
Here
we
provide
clinical
molecular
update
for
sibling
pair
diagnosed
with
An
extensive
genetic
work‐up,
including
chromosomal
microarray
analysis
quad
exome
sequencing,
was
nondiagnostic.
However,
research
reanalysis
of
their
sequencing
data
revealed
that
both
were
homozygous
an
intronic
c.749+39G>A
[NM_001383.6]
variant
in
DPH1
.
RNAseq
performed
on
RNA
from
fibroblasts
significantly
reduced
expression
transcripts
suggestive
abnormal
splicing
followed
by
nonsense
mediated
mRNA
decay.
Since
the
phenotypes
this
consistent
those
associated
inheritance
biallelic
pathogenic
variants
,
they
given
diagnosis
developmental
delay
short
stature,
dysmorphic
facial
features,
sparse
hair
1
(DEDSSH1).
This
leads
us
recommend
all
individuals
be
screened
The
histories
emphasize
hearing
loss
DEDSSH1
may
remit
over
time
should
monitored
cardiomyopathy.
case
also
demonstrates
utility
means
functionally
validating
effects
affect
splicing.
JMIR Bioinformatics and Biotechnology,
Год журнала:
2024,
Номер
5, С. e58439 - e58439
Опубликована: Окт. 16, 2024
Chromosomal
abnormalities
are
genetic
disorders
caused
by
chromosome
errors,
leading
to
developmental
delays,
birth
defects,
and
miscarriages.
Currently,
invasive
procedures
such
as
amniocentesis
or
chorionic
villus
sampling
mostly
used,
which
carry
a
risk
of
miscarriage.
This
has
led
the
need
for
noninvasive
innovative
approach
detect
prevent
chromosomal
during
pregnancy.
BACKGROUND
Chromosomal
abnormalities
are
genetic
disorders
caused
by
chromosome
errors,
leading
to
developmental
delays,
birth
defects,
and
miscarriages.
Currently,
invasive
procedures
such
as
amniocentesis
or
chorionic
villus
sampling
mostly
used,
which
carry
a
risk
of
miscarriage.
This
has
led
the
need
for
noninvasive
innovative
approach
detect
prevent
chromosomal
during
pregnancy.
OBJECTIVE
review
aims
describe
appraise
potential
internet-based
abnormal
preventive
measures
detecting
preventing
METHODS
A
thorough
existing
literature
research
on
approaches
prenatal
diagnosis
therapy
was
conducted.
Electronic
databases
PubMed,
Google
Scholar,
ScienceDirect,
CENTRAL,
CINAHL,
Embase,
OVID
MEDLINE,
PsycINFO,
Scopus,
ACM,
IEEE
Xplore
were
searched
relevant
studies
articles
published
in
last
5
years.
The
keywords
used
included
<i>chromosomal
abnormalities</i>,
<i>prenatal
diagnosis</i>,
<i>noninvasive</i>,
<i>internet-based</i>,
<i>diagnosis</i>.
RESULTS
revealed
that
is
involves
use
advanced
technology,
including
high-resolution
ultrasound,
cell-free
DNA
testing,
bioinformatics,
analyze
fetal
from
maternal
blood
samples.
It
allows
early
detection
abnormalities,
enabling
timely
interventions
treatment
adverse
outcomes.
Furthermore,
with
advancement
emerged
safe
alternative
benefits
its
cost-effectiveness,
increased
accessibility
convenience,
earlier
intervention,
ethical
considerations.
CONCLUSIONS
Internet-based
revolutionize
care
offering
procedures.
improve
better
pregnancy
outcomes
reduced
Further
development
this
field
needed
make
more
accessible
affordable
pregnant
women.